Senior Risk Data Analyst

Position Overview

• Company: Sardine
• Location Type: Remote
• Job Type: Full-Time
• Salary: $150K - $170K

Sardine is a leader in fraud prevention and AML compliance. Our platform utilizes device intelligence, behavior biometrics, machine learning, and AI to proactively stop fraud. Currently, over 300 banks, retailers, and fintechs globally rely on Sardine to combat identity fraud, payment fraud, account takeovers, and social engineering scams. We have secured $145M in funding from prominent investors including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture is remote-first, emphasizing work-life balance and performance over hours worked.

Requirements

• Experience: Minimum of 7 years of experience demonstrating high impact in a data-focused role (e.g., product analytics, business analytics, data science).
• Technical Skills:
  • Strong technical background.
  • Proficiency in SQL.
  • Proficiency in Python.
  • Expertise in BI tools (e.g., Tableau, Sigma, Metabase).
  • Experience with building ML models.
• Domain Knowledge: Prior experience in the Fraud/Risk domain is essential.
• Analytical Skills: Demonstrated ability to structure and analyze data using techniques like EDA and cohort analysis, translate findings into actionable recommendations, and communicate them effectively.

Responsibilities

• Develop and track key metrics to measure and monitor the performance of risk products and the effectiveness of risk management strategies.
• Conduct in-depth analyses to uncover insights that contribute to fraud reduction and improved approval rates for clients.
• Act as a client-facing partner, translating complex data insights into clear, actionable recommendations.
• Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.
• Collaborate with engineering teams on data instrumentation.
• Create and automate self-serve dashboards using BI tools.
• Partner with cross-functional teams (Business, Product, and Engineering) to understand business requirements and develop data-driven solutions.
• Collaborate on the implementation of risk mitigation solutions, ensuring alignment with business objectives.

Application Instructions

• Information regarding application instructions is not provided in the original job description.

Company Information

• Industry: Fraud Prevention and AML Compliance
• Culture: Remote-first, prioritizing work-life balance. Values performance over hours worked.
• Key Investors: Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures
• Major Hubs: Bay Area, NYC, Austin, and Toronto